2961 3229 Test Test 96 Supervised Classification 14174 sklearn.pipeline.Pipeline(Preprocessing=sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,continuous=sklearn.impute._base.SimpleImputer),Classifier=sklearn.ensemble._forest.RandomForestClassifier)(1) 2408 Python_3.8.18. Sklearn_1.3.2. NumPy_1.23.5. SciPy_1.10.1. bootstrap true 44 ccp_alpha 0.0 44 class_weight null 44 criterion "gini" 44 max_depth null 44 max_features "sqrt" 44 max_leaf_nodes null 44 max_samples null 44 min_impurity_decrease 0.0 44 min_samples_leaf 1 44 min_samples_split 2 44 min_weight_fraction_leaf 0.0 44 n_estimators 10 44 n_jobs null 44 oob_score false 44 random_state 17295 44 verbose 0 44 warm_start false 44 add_indicator false 80 copy true 80 fill_value null 80 keep_empty_features false 80 missing_values NaN 80 strategy "median" 80 categories "auto" 118 drop null 118 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 118 feature_name_combiner "concat" 118 handle_unknown "ignore" 118 max_categories null 118 min_frequency null 118 sparse false 118 sparse_output true 118 memory null 14174 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Preprocessing", "step_name": "Preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "Classifier", "step_name": "Classifier"}}] 14174 verbose false 14174 n_jobs null 14175 remainder "drop" 14175 sparse_threshold 0.3 14175 transformer_weights null 14175 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "categorical", "step_name": "categorical", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "continuous", "step_name": "continuous", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}] 14175 verbose false 14175 verbose_feature_names_out true 14175 openml-python Sklearn_1.3.2. 16 credit-a https://www.openml.org/data/download/29/dataset_29_credit-a.arff -1 7593 description https://test.openml.org/data/download/7593/description.xml -1 7594 predictions https://test.openml.org/data/download/7594/predictions.arff area_under_roc_curve 0.9452262478619187 [0.945226,0.945226] average_cost 0 f_measure 0.872291353745443 [0.868778,0.875536] kappa 0.7443594423517533 kb_relative_information_score 0.6272696550296953 mean_absolute_error 0.19911894273127786 mean_prior_absolute_error 0.497822820911105 weighted_recall 0.8722466960352423 [0.880734,0.864407] number_of_instances 227 [109,118] precision 0.8726407092237392 [0.857143,0.886957] predictive_accuracy 0.8722466960352423 prior_entropy 1.0024462539766308 relative_absolute_error 0.3999795396419443 root_mean_prior_squared_error 0.5008375893008056 root_mean_squared_error 0.3032859687730798 root_relative_squared_error 0.6055575205456968 total_cost 0 unweighted_recall 0.8725703623075727 [0.880734,0.864407] area_under_roc_curve 0.9452262478619187 [0.945226,0.945226] average_cost 0 f_measure 0.872291353745443 [0.868778,0.875536] kappa 0.7443594423517533 kb_relative_information_score 0.6272696550296953 mean_absolute_error 0.19911894273127786 mean_prior_absolute_error 0.497822820911105 weighted_recall 0.8722466960352423 [0.880734,0.864407] number_of_instances 227 [109,118] precision 0.8726407092237392 [0.857143,0.886957] predictive_accuracy 0.8722466960352423 prior_entropy 1.0024462539766308 relative_absolute_error 0.3999795396419443 root_mean_prior_squared_error 0.5008375893008056 root_mean_squared_error 0.3032859687730798 root_relative_squared_error 0.6055575205456968 total_cost 0 usercpu_time_millis 28.146400000004235 usercpu_time_millis_testing 5.876999999998134 usercpu_time_millis_training 22.2694000000061 wall_clock_time_millis 28.150558471679688 wall_clock_time_millis_training 22.27020263671875 wall_clock_time_millis_testing 5.8803558349609375 unweighted_recall 0.8725703623075727 [0.880734,0.864407]